Journal of Biosystems Engineering

  • 제36권2호
  • /
  • Pages.96-108
  • /
  • 2011
  • /
  • 1738-1266(pISSN)
  • /
  • 2234-1862(eISSN)
한국농업기계학회 (Korean Society for Agricultural Machinery)
권호 표지
DOI QR코드

DOI QR Code

코어샘플을 이용한 질소 등 토양성분 현장 측정방법의 비교평가

Comparison of In-Field Measurements of Nitrogen and Other Soil Properties with Core Samples

  • 투고 : 2011.03.04
  • 심사 : 2011.03.25
  • 발행 : 2011.04.25
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Several methods of in-field measurements of Nitrogen and other soil properties using cores extracted by a hydraulic soil sampler were evaluated. A prototype core scanner was built to accommodate Veris Technologies commercial Vis-NIRS equipment. The testing result for pH, P and Mg were close to RPD (Ratio of Prediction to Deviation = Standard deviation/RMSE) of 2, however the scanner could not achieve the goal of RPD of 2 on some other properties, especially on nitrate nitrogen ($NO_3$) and potassium (K). In situ NIRS/EC probe showed similar results to the core scanner; pH, P and Mg were close to RPD of 2, while $NO_3$ and K were RPD of 1.5 and 1.2, respectively. Correlations between estimations using the probe and the core scanner were strong, with $r^2$ > 0.7 for P, Mg, Total N, Total C and CEC. Preliminary results for mid-IR spectroscopy showed an $r^2$ of 0.068 and an RMSE for nitrate (N) of 18 ppm, even after the removal of calcareous samples and possible N outlier. After removal of calcareous samples on a larger sample set, results improved considerably with an $r^2$ of 0.64 and RMSE of 6 ppm. However, this was only possible after carbonate samples were detected and eliminated, which would not be feasible under in-field measurements. Testing of $NO_3$ and K ion-selective electrodes (ISEs) revealed promising results, with acceptable errors measuring soil solutions containing nitrate and potassium levels that are typical of production agriculture fields.

키워드

참고문헌

  1. Adamchuk, V. I., A. Dobermann, M. T. Morgan and S. M. Brouder. 2002. Feasibility of on-the-go mapping of soil nitrate and potassium using ion-selective electrodes. ASAE Paper No. 021183. St. Joseph, Mich.:ASABE.
  2. Adamchuk, V. I., J. W. Hummel, M. T. Morgan and S. K. Upadhyaya. 2004. On-the-go soil sensors for precision agriculture. Computers and Electronics in Agriculture 44(1):71-91. https://doi.org/10.1016/j.compag.2004.03.002
  3. Adamchuk, V. I., E. Lund, T. M. Reed and R. B. Ferguson. 2007. Evaluation of an on-the-go technology for soil pH mapping. Precision Agriculture 8:139-149. https://doi.org/10.1007/s11119-007-9034-0
  4. Adamchuk, V. I., E. Lund, B. Sethuramasamyraja, M. T. Morgan, A. Dobermann and D. B. Marx. 2005. Direct measurement of soil chemical properties on-the-go using ion selective electrodes. Computers and Electronics in Agriculture 48(3):272-294. https://doi.org/10.1016/j.compag.2005.05.001
  5. Adsett, J. F., J. A. Thottan, and K. J. Sibley. 1999. Development of an automated on-the-go soil nitrate monitoring system applied engineering in agriculture. Transactions of the ASAE 15(4):351-356.
  6. Adsett., J. F. and G. C. Zoerb. 1991. Automated field monitoring of soil nitrate levels. Automated Agriculture for the 21st Century, Proceedings of the Symposium. pp. 326-335.
  7. Bendikov, T. A., J. Kim and T. C. Harmon. 2004. Development and environmental application of a nitrate selective microsensor based on doped polypyrrole films. Sensors and Actuators B 106:512-617.
  8. Birrell, S. J. and J. W. Hummel. 1997. Multi-sensor ISFET system for soil analysis. Precision in Agriculture '97. The 1st European Conference on Precision Agriculture. pp. 459-468.
  9. Carter, M. R. 1993. Soil sampling and methods of analysis. CRC Press for Canadian Society of Soil Science. p. 28.
  10. Chang, C. W., D. A. Laird, M. J. Mausbach and C. R. Hurburgh, Jr., 2001. Near-infrared reflectance spectroscopy - principal components regression analysis of soil properties. Soil Science Society of America Journal 65:480-490. https://doi.org/10.2136/sssaj2001.652480x
  11. Colburn, J. W. 1998. Soil doctor multi-parameter, real-time soil sensor and concurrent input control system. Proceedings of Fourth International Conference on Precision Agriculture. pp. 1011-1022. Minneapolis MN.
  12. Eigenberg, R. A., J. A. Nienaber, B. L. Woodbury and R. B. Ferguson. 2006. Soil conductivity as a measure of soil and crop status-A Four-Year Summary. Soil Science Society of America Journal 70:1600-1611. https://doi.org/10.2136/sssaj2005.0069
  13. Hummel, J. W., K. A. Sudduth and S. E. Hollinger. 2001. Soil moisture and organic matter prediction of surface and subsurface soil using an NIR soil sensor. Computers and Electronics in Agriculture 32:149-165. https://doi.org/10.1016/S0168-1699(01)00163-6
  14. 14. Islam, K., S. B. Singh, G. Schwenke and A. McBratney. 2004. Evaluation of vertosol soil fertility using ultra-violet, visible and near-infrared reflectance spectroscopy. SuperSoil 2004: 3rd Australian New Zealand Soils Conference, University of Sydney, Australia.
  15. Jahn, B. R. and S. K. Upadhyaya. 2006. Development of midinfrared- based calibration equations for predicting soil nitrate, phosphate, and organic matter concentrations. ASABE Paper No. 061058. St. Joseph, Mich.:ASABE.
  16. Lee, K. S., D. H. Lee, K. A. Sudduth, S. O. Chung, N. R. Kitchen and S. T. Drummond. 2009. Wavelength identification and diffuse reflectance estimation for surface and profile soil properties. Transactions of the ASABE 52(3):683-695. https://doi.org/10.13031/2013.27385
  17. Lund, E. D., T. Smith and K. Ferrie. 2007. Using NIR spectrophotometer maps to reduce costs and improve accuracy of ISNT measurements. ASA-CSSA-SSSA Annual Meeting.
  18. Price, R. R., J. W. Hummel, S. J. Birrell and I.S. Ahmad. 2003. Rapid nitrate analysis of soil cores using ISFETs. Transactions of the ASAE 46(3):601-610.
  19. Rhoades, J. D. and D. L. Corwin. 1992. Determining soil electrical conductivity-depth relations using an inductive electromagnetic conductivity meter. Soil Science Society of America Journal 45:255-260.
  20. Shibusawa, S., M. Z. Li, K Sakai, A. Sasao and H. Sato, 1999. Spectrophotometer for real-time underground soil sensing. ASAE Paper No. 99-3030. St. Joseph, Mich.:ASAE.
  21. Shonk, J. L., L. D. Gaultney, D. G. Schulze and G. E. Van Scoyoc, 1991. Spectroscopic sensing of soil organic matter content. Transactions of the ASAE 34(5):1978-1984. https://doi.org/10.13031/2013.31826
  22. Sudduth, K. A. and J. W. Hummel 1993. Soil organic matter, CEC, and moisture sensing with a portable NIR spectrophotometer. Transactions of the ASAE 36(6):1571-1582. https://doi.org/10.13031/2013.28498
  23. Staggenborg, S. A., M. Carignano and L. Hagg. 2007. Predicting soil pH and buffer pH in Situ with a real-time sensor. Agronomy Journal 99:854-861. https://doi.org/10.2134/agronj2006.0254
  24. Williams, B. and D. Hoey, 1987. The use of electromagnetic induction to detect the spatial variability of the salt and clay content of soils. Australian Journal Soil Research 25:21-27. https://doi.org/10.1071/SR9870021
  25. Williams, P. C. 1987. Variables affecting near-infrared reflectance spectroscopic analysis. Near-infrared Technology in the Agricultural and Food Industries. pp. 143-167. St. Paul, Minn.: American Association of Cereal Chemists.

피인용 문헌

  1. Shadow effect on multi-spectral image for detection of nitrogen deficiency in corn vol.83, 2012, https://doi.org/10.1016/j.compag.2012.01.014